Introduction on Fair Augmentation For Graph Collaborative Filtering
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WSDM-23 Paper: Simplifying Graph-based Collaborative Filtering for Recommendation
CONF-CDS - Node Augmentation Methods for Graph Neural Network based Object Classification
Enhancing Collaborative Filtering with Generative Augmentation
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 8.1 - Graph Augmentation for GNNs
SuperGlue: Learning Feature Matching with Graph Neural Network
Bร i 11.5.1 Neural Graph Collaborative Filtering NGCF, Machine Learning with Graphs
Neural Collaborative Filtering (NCF) Explanation & Implementation in Pytorch
PyParis 2017 - Collaborative filtering for recommendation systems in Python, by N. Hug
Building Neural Collaborative Filtering recommendation model
5-4. Graph Augmentation for GNNs (Feature & Structure Augmentation)
Towards Amortized Ranking-Critical Training for Collaborative Filtering | AISC
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Last Updated: August 14, 2026
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